Results 111 to 120 of about 100,624 (168)
Intrinsic annealing in a hybrid memristor-magnetic tunnel junction Ising machine. [PDF]
Iftakher MA +12 more
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Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing data. [PDF]
Castiglione C +3 more
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Spin-Adapted Restricted Open-Shell Hartree-Fock and Its Dynamic Correlation Extension. [PDF]
Song M +4 more
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Stochastic intracellular calcium dynamics show preserved structures identified by deep learning classification. [PDF]
Choi J, Chanu AL, Awasthi S.
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Stochastic $R_0$ Matrix Linear Complementarity Problems
SIAM Journal on Optimization, 2007The authors consider the expected residual minimization method (ERM) for solving stochastic linear complementarity problems \[ x \geq 0 , ~~ M(\omega) x + q(\omega) \geq 0, ~~ x^T(M(\omega) x + q(\omega)) = 0 . \] This problem is transformed to a minimization problem \(\min G(x) \text{ s.t. } x \geq 0\). The study is based on the concept of stochastic \
Masao Fukushima, Xiaojun Chen
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Analysis, 1986
Summary: Let a probability space (\(\Omega\),\(\Sigma\),P) and sequences of r.v.'s \((X_ n(\omega))_ 1^{\infty}\), \((Y_ n(\omega))_ 1^{\infty}\), and a matrix of r.v.'s \(A=(A_{nk}(\omega))^{\infty}_{n,k=1}\) be given. We ask for the exact conditions for A which guarantee that each sequence \((X_ n(\omega))_ 1^{\infty}\), which is a.s. an element of \(
Stadtmüller, U., Trautner, Rolf
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Summary: Let a probability space (\(\Omega\),\(\Sigma\),P) and sequences of r.v.'s \((X_ n(\omega))_ 1^{\infty}\), \((Y_ n(\omega))_ 1^{\infty}\), and a matrix of r.v.'s \(A=(A_{nk}(\omega))^{\infty}_{n,k=1}\) be given. We ask for the exact conditions for A which guarantee that each sequence \((X_ n(\omega))_ 1^{\infty}\), which is a.s. an element of \(
Stadtmüller, U., Trautner, Rolf
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The Term and Stochastic Ranks of a Matrix
Canadian Journal of Mathematics, 1959The term rank p of a matrix is the order of the largest minor which has a non-zero term in the expansion of its determinant. In a recent paper (1), the authors made the following conjecture. If S is the sum of all the entries in a square matrix of non-negative real numbers and if M is the maximum row or column sum, then the term rank p of the matrix is
Dulmage, A. L., Mendelsohn, N. S.
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Distributed Stochastic ADMM for Matrix Factorization
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014Matrix factorization (MF) has become the most popular technique for recommender systems due to its promising performance. Recently, distributed (parallel) MF models have received much attention from researchers of big data community. In this paper, we propose a novel model, called distributed stochastic alternating direction methods of multipliers (DS ...
Zhi-Qin Yu +3 more
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